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chroma-core
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chroma-core/chroma

Search infrastructure for AI

Rust ◇ agents Apache-2.0
★29.4KSTARS
⑂2.5KFORKS
!902ISSUES
🏆#332GLOBAL RANK
🔥5DAYS TRENDING
🚀
Maintainer Growth Kit for chroma

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Star History

Continuous Observations
Interactive star growth chart for chroma-core/chroma
CSV

Momentum

+735

STARS · LAST 30 DAYS

25

PER DAY

#53

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+175+735+2.3K
Per day252525
Forks gained+13+51+127

chroma gained 735 stars in the last 30 days, about 25 a day, and now has 29.4K. It is about 4 years old and has averaged roughly 7.3K stars a year. It ranks #53 among Rust repositories and #332 across all languages on GitHubRepo.

Trending Record

chroma has maintained a continuous presence across global trending indexes, peaking at #348. Below is the 30-day activity profile:

💡 Overview

chroma is an open-source project written in Rust: Search infrastructure for AI.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, ai, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install chroma

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

chroma coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with chroma.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install chroma using your package manager: `cargo install chroma`

2

Initialize your project workspace or configuration file for chroma.

3

Import chroma into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `chroma --help` to verify successful setup.

👍 Strengths

Active community backing with 29,369 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

chroma-core/chroma is currently ranked #332 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#327 apolloconfig/apollo Java ★ 29.8K Compare ↗
#328 langchain-ai/deepagents Python ★ 29.8K Compare ↗
#329 simstudioai/sim TypeScript ★ 29.7K Compare ↗
#330 micro-editor/micro Go ★ 29.6K Compare ↗
#331 composer/composer PHP ★ 29.5K Compare ↗
#332 chroma-core/chroma This Project Rust ★ 29.4K
#333 tashfeenahmed/freellmapi TypeScript ★ 29.3K Compare ↗
#334 JunkFood02/Seal Kotlin ★ 29.3K Compare ↗
#335 alibaba/spring-cloud-alibaba Java ★ 29.2K Compare ↗
#336 Anuken/Mindustry Java ★ 29.1K Compare ↗
#337 envoyproxy/envoy C++ ★ 29K Compare ↗

Frequently Asked Questions

What does chroma do? +

Search infrastructure for AI

What language is chroma written in? +

The primary language is Rust. Topics include: agents, ai, ai-agents, database, rust.

Is chroma actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 902 open issues being tracked.

How many stars does chroma have? +

chroma has 29,387 stars and 2,536 forks on GitHub.

How does chroma rank among GitHub repositories? +

With 29,387 stars, chroma-core/chroma is ranked #332 globally across all repositories tracked on GitHubRepo and #53 among Rust projects.

What license is chroma distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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